Each Python object in pandas is either a DataFrame or DataSeries, so let's understand what difference between both of them.
DataFrame: is just a table having rows and columns (pandas.core.frame.DataFrame)
DataSeries: Each column in DataFrame is called as DataSeries (pandas.core.series.Series)
here's an example:
df is any DataFrame in pandas
head(), describe() takes and parentheses
but let's look at the following commands
these commands don't take parentheses,
so when to use parentheses and when not to use them?
the simple reason behind it is they are data frame and to understand that in detail visualize methods as actions, descriptions as attributes
let's take the example of a random boy in the group named as sam,
# these are the actions called methods that require parentheses sam.eat() sam.talk()
# these are the descriptions that don't require parentheses sam.weight sam.height
in simple words, we can conclude that Actions(Methods) require parentheses, and Attribute(Descriptions) don't need any parentheses.
it's not a hard and fast rule, but the example makes sense.
Thanks for reading🤞